A Wavelet Based Image Sharpening Algorithm

机译：基于小波的图像锐化算法

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The fundamental idea of image sharpening is to add to the input signal a high-pass filtered version of the signal itself. Wavelet coefficients provide multiresolution high frequency components of an image. Making use of this property, in this paper, we propose a wavelet-based algorithm for image sharpening. First, an image containing the edge information of the original image is obtained from a selected set of wavelet coefficients. This image is then combined with the original image to generate a new image with enhanced visual quality. In addition, we design an effective approach to remove those coefficients related with noise rather than the real image to further enhance the image quality. Experimental results demonstrate the effectiveness of the proposed algorithm for image sharpening purpose.

机译：图像锐化的基本思想是向输入信号添加信号本身的高通滤波版本。小波系数提供图像的多分辨率高频分量。利用这一特性，在本文中，我们提出了一种基于小波的图像锐化算法。首先，从一组选定的小波系数中获得包含原始图像的边缘信息的图像。然后将此图像与原始图像合并，以生成具有增强视觉质量的新图像。另外，我们设计了一种有效的方法来去除那些与噪声相关的系数，而不是去除真实图像，以进一步提高图像质量。实验结果证明了该算法对图像锐化的有效性。

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《Computer Science and Software Engineering, CSSE 2008, 2008 International Conference on》||P.1053-1056|共4页
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Ying Liu; Ming Ng Tek; Keat Liew Beng;
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A Wavelet Based Image Sharpening Algorithm

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